Introduction

Generative AI in Banking Training Course is designed to equip financial professionals with cutting-edge knowledge and practical skills in Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), and Generative AI technologies transforming the global banking ecosystem. As banks accelerate their digital transformation, hyper-personalization, automation, fraud detection, and intelligent decision-making, Generative AI is emerging as a game-changer in delivering customer-centric, data-driven, and scalable banking solutions. This course explores how advanced AI models such as ChatGPT, AI copilots, and generative analytics are reshaping operations, risk management, compliance, and customer experience.

Participants will gain deep insights into AI-powered banking innovation, including predictive analytics, conversational banking, robo-advisory, automated credit scoring, fraud prevention, and regulatory technology. Through real-world case studies, hands-on applications, and strategic frameworks, the course empowers learners to implement secure, ethical, and high-impact AI solutions. It also addresses critical concerns such as AI governance, data privacy, bias mitigation, cybersecurity, and model risk management, ensuring sustainable and responsible AI adoption in modern banking environments.

Programme Curriculum

Generative AI Applications in Banking Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand Generative AI fundamentals and LLM applications in banking
Explore AI-driven digital banking transformation strategies
Implement AI-powered customer experience and personalization models
Analyze fraud detection and anti-money laundering (AML) using AI
Develop intelligent automation and AI-driven process optimization
Apply AI in credit risk assessment and predictive analytics
Integrate chatbots, virtual assistants, and conversational AI systems
Strengthen cybersecurity and AI-based threat detection frameworks
Evaluate AI governance, ethics, and regulatory compliance
Utilize data analytics, big data, and AI insights for decision-making
Design AI-enabled financial products and innovation strategies
Understand model risk management and AI validation techniques
Build future-ready AI transformation roadmaps in banking

Target Audience

Banking and Financial Institution Executives
Risk Management and Compliance Professionals
Digital Banking and Innovation Teams
Data Scientists and AI/ML Engineers
IT and Technology Managers in Banking
Fraud Analysts and AML Specialists
FinTech Professionals and Consultants
Operations and Customer Experience Managers

Course Modules

Module 1: Introduction to Generative AI in Banking

Overview of AI, ML, and Generative AI
Evolution of AI in financial services
Key use cases in banking operations
AI tools: ChatGPT, copilots, automation platforms
Case Study: AI adoption in global banks

Module 2: AI-Powered Customer Experience & Personalization

Hyper-personalization using AI
Customer data platforms and analytics
Conversational banking and chatbots
AI-driven customer insights
Case Study: AI chatbots improving customer engagement in retail banking

Module 3: Fraud Detection & AML with AI

AI-based fraud detection models
Transaction monitoring using ML
AML compliance and suspicious activity detection
Behavioral analytics in fraud prevention
Case Study: AI reducing fraud losses in digital payments

Module 4: Credit Risk & Predictive Analytics

AI in credit scoring and loan approvals
Alternative data for risk assessment
Predictive modeling techniques
Risk-based pricing strategies
Case Study: FinTech lending platforms using AI scoring

Module 5: Intelligent Automation & Process Optimization

Robotic Process Automation (RPA) with AI
Workflow automation in banking operations
AI-driven document processing
Cost reduction and efficiency gains
Case Study: Automation of loan processing systems

Module 6: AI Governance, Ethics & Compliance

Responsible AI frameworks
Bias detection and fairness in AI
Regulatory requirements
AI audit and model validation
Case Study: Ethical AI challenges in financial institutions

Module 7: Cybersecurity & AI Risk Management

AI-powered threat detection
Cyber risk analytics
Data privacy and protection strategies
Model risk management frameworks
Case Study: AI in preventing cyber fraud attacks

Module 8: Future Trends & AI Strategy in Banking

Generative AI trends and innovations
Open banking and AI integration
AI in digital currencies and blockchain
Building AI transformation roadmaps
Case Study: Future-ready AI-driven banking ecosystems

Training Methodology

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

AI content generation Chatbot development Data insights Automation use cases

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Sep 21 2026

21 Sep — 25 Sep 2026

💻 Online / Virtual session

Online $1,000